Attack Surface

AI Penetration Testing

AI penetration testing uses autonomous, agentic AI systems, rather than static scripts or fixed exploit sequences, to plan and carry out multi-step attack chains that adapt in real time to what they discover in an environment. Unlike traditional automated testing, agentic AI testing can reason for an environment specific configuration and identify paths to impact that weren’t explicitly programmed in advance. 

AI penetration testing platforms operate within defined guardrail zones to control how assertively the AI is permitted to act within a given environment. 

Ridge Security AI penetration testing support: Its agentic AI-based autonomous red teaming capability tests for business-logic flaws and non-CVE risk that fixed-script tools cannot reach, combining breadth-first, CVE-centric testing with depth-first, non-CVE testing to deliver one offensive security outcome.